文章摘要
李重重,熊江勇,郑田娟,沈婉君,刘婷.SAS与EPS集成系统传感器和ECU的故障诊断方法[J].机床与液压,2018,46(9):156-158
SAS与EPS集成系统传感器和ECU的故障诊断方法
Method of Fault Diagnosis of Sensors and ECU on SAS and EPS Integrated System
  
DOI:10.3969/j.issn.1001-3881.2018.09.035
中文关键词: SAS  EPS  小波分析  信号消噪  故障诊断
英文关键词: SAS  EPS  Wavelet analysis  Signals denoise  Fault diagnosis
基金项目:江苏省高等学校自然科学研究资助项目(17KJD470002)
作者单位E-mail
李重重 南京审计大学金审学院信息科学与工程学院 770666193@qq.com 
熊江勇 南京审计大学金审学院信息科学与工程学院  
郑田娟 南京审计大学金审学院信息科学与工程学院  
沈婉君 南京审计大学金审学院信息科学与工程学院  
刘婷 南京审计大学金审学院信息科学与工程学院  
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中文摘要:
      为解决汽车半主动悬架(Semi-Active Suspension, SAS)与电动助力转向(Electric Power Steering, EPS)集成系统在线故障诊断的问题,提出将小波分析方法应用到SAS与EPS集成系统传感器和ECU的故障诊断中。首先根据故障状态下传感器和ECU输出电压信号的突变特性,利用小波分析奇异性检测原理检测出突变信息。随后为能更精确地检测出突变信息,先使用小波阈值法对电压信号消噪,再对消噪后的电压信号进行检测。最后以SAS与EPS集成系统中扭矩传感器和ECU故障诊断为例进行试验研究。结果表明,小波分析方法能有效抑制信号噪声,并准确检测出故障和故障发生时刻,对集成控制系统的安全运行及故障诊断具有重要的工程应用意义。
英文摘要:
      In order to solve the problem of the on-line fault diagnosis on automotive Semi-Active Suspension (SAS) and Electric Power Steering (EPS) integrated system, Wavelet analysis method is proposed and applied to the fault diagnosis of sensors and ECU on SAS and EPS integrated system. According to the sudden change characteristics of voltage signals for sensors and ECU under the failure status, the sudden change information could be detected with singularity detection principle of Wavelet analysis. In order to make the detection more accurately, the voltage signals de-noise was carried out first with the wavelet threshold method, then, the denoised voltage signals were detected. At last, the fault diagnosis trial studies of torque sensors and ECU in the system were carried out as examples. The results prove that Wavelet analysis method can effectively restrain the noise of signal and precisely detect the fault information on time. It has great engineering significance to the safe operation and fault diagnosis of the integrated control system of vehicle.
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